Analysis of Uber pickups in NYC

Analysis of journey by week-days

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Requirement already satisfied: six in /opt/anaconda3/lib/python3.7/site-packages (from plotly) (1.14.0)
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Analysis journey by hour

Analysis of Journey of Each Day

<matplotlib.axes._subplots.AxesSubplot at 0x7fc08cceb890>

Analysis of Total rides month wise

Analysing Rush in hour

Text(0.5, 1.0, 'hoursoffday vs latitude of passenger')
Text(0.5, 1.0, 'hoursoffday vs latitude of passenger')
<matplotlib.axes._subplots.AxesSubplot at 0x7fc0948bfe90>

Perform Cross Analysis

1.Heatmap by Hour and Weekday
2.Heatmap by Hour and Day
3.Heatmap by Month and Day
4.Heatmap by Month and Weekday
hour 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23
weekday
Friday 13716 8163 5350 6930 8806 13450 23412 32061 31509 25230 ... 36206 43673 48169 51961 54762 49595 43542 48323 49409 41260
Monday 6436 3737 2938 6232 9640 15032 23746 31159 29265 22197 ... 28157 32744 38770 42023 37000 34159 32849 28925 20158 11811
Saturday 27633 19189 12710 9542 6846 7084 8579 11014 14411 17669 ... 31418 38769 43512 42844 45883 41098 38714 43826 47951 43174
Sunday 32877 23015 15436 10597 6374 6169 6596 8728 12128 16401 ... 28151 31112 33038 31521 28291 25948 25076 23967 19566 12166
Thursday 9293 5290 3719 5637 8505 14169 27065 37038 35431 27812 ... 36699 44442 50560 56704 55825 51907 51990 51953 44194 27764
Tuesday 6237 3509 2571 4494 7548 14241 26872 36599 33934 25023 ... 34846 41338 48667 55500 50186 44789 44661 39913 27712 14869
Wednesday 7644 4324 3141 4855 7511 13794 26943 36495 33826 25635 ... 35148 43388 50684 55637 52732 47017 47772 44553 32868 18146

7 rows × 24 columns

Heatmap by Hour and Weekday

<matplotlib.axes._subplots.AxesSubplot at 0x7fc08e607050>

Heatmap by Hour and Day

Heatmap by month and day

Heatmap by month and weekday

Analysis of Location data points

(40.6, 41)

Perform spatial Analysis using heatmap to get a clear cut of Rush

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ERROR: No matching distribution found for foilum
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Analysing Rush in New York City

<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc3c22490>

Analysing In-Depth Analysis of Rush in New York City Day & Hour wise

<matplotlib.axes._subplots.AxesSubplot at 0x7fbfc58e7b10>

Analysing which base number has most active vehicles

<matplotlib.axes._subplots.AxesSubplot at 0x7fbf88ebf0d0>

Analysing which base number has most trips

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how Average trips/vehicle inc/decreases with dates with each of base num

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